Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
GirlsInBikinis

Ratings

GirlsInBikinis vs Steve 14–12 53.85%
GirlsInBikinis vs Heihachi 7–12 36.84%
GirlsInBikinis vs Law 5–13 27.78%
GirlsInBikinis vs Jin 6–12 33.33%
GirlsInBikinis vs Clive 6–12 33.33%
GirlsInBikinis vs Lee 5–12 29.41%
GirlsInBikinis vs Lars 6–10 37.50%
GirlsInBikinis vs Reina 7–9 43.75%
GirlsInBikinis vs Dragunov 8–7 53.33%
GirlsInBikinis vs Kazuya 5–9 35.71%
GirlsInBikinis vs King 6–7 46.15%
GirlsInBikinis vs Lili 5–8 38.46%
GirlsInBikinis vs Azucena 4–8 33.33%
GirlsInBikinis vs Yoshimitsu 6–5 54.55%
GirlsInBikinis vs Nina 5–6 45.45%
GirlsInBikinis vs Victor 6–5 54.55%
GirlsInBikinis vs Leo 7–2 77.78%
GirlsInBikinis vs Jun 3–6 33.33%
GirlsInBikinis vs Eddy 2–6 25.00%
GirlsInBikinis vs Lidia 5–3 62.50%
GirlsInBikinis vs Xiaoyu 0–7 0.00%
GirlsInBikinis vs Hwoarang 1–5 16.67%
GirlsInBikinis vs Claudio 2–4 33.33%
GirlsInBikinis vs Shaheen 2–4 33.33%
GirlsInBikinis vs Bryan 4–1 80.00%
GirlsInBikinis vs Leroy 2–3 40.00%
GirlsInBikinis vs Asuka 3–1 75.00%
GirlsInBikinis vs Zafina 2–2 50.00%
GirlsInBikinis vs Jack-8 0–3 0.00%
GirlsInBikinis vs Anna 1–2 33.33%
GirlsInBikinis vs Devil Jin 0–2 0.00%
GirlsInBikinis vs Alisa 0–2 0.00%
GirlsInBikinis vs Kuma 0–2 0.00%
GirlsInBikinis vs Raven 0–2 0.00%
GirlsInBikinis vs Panda 0–1 0.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.